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AI-Based Weather Forecasting Has Blind Spots
Traditional weather forecasting models are physics-based and rely on supercomputers. AI-based models base their predictions on past weather instead, giving them faster run-times--and some serious blind spots. (Image credit: B. McGowan; research credit: Y. Sun et al.; see also S. Nath and T. Palmer; via Gizmodo)
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CFD simulation, TU Clausthal
ah man i love computational fluid dynamics it makes my heart sing
this cat is learning computational fluid dynamics^ (unwillingly)
A class of curves
During my thesis, researching ways of flow around rocks and ships near the surface of water, I found a set of equations that can be used to model these weirder shapes. One example was the lemon curve, which you saw as the cricket ball simulation I showed earlier. The other is a generalised version of these that allows one to customise the location of bumps on the surface of the solid. The following plots were made in python.
Lemon curves (name courtesy of my fabulous sister @mrunmione) - the shape used to model a cricket ball
Crocodile curves (because they literally look like crocodiles)
Why are they important? ↓
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pretty plots
F1 mesh for CFD study. Free download it and run your simulations. Here is the link: https://fetchcfd.com/view-project/136-F1-Mesh-for-Simulation
#FetchCFD #SimulationPlatform #CFD #MeshForCFD #simulation #F1 #formule1 #FluidMechanics #FluidDynamics
